JEPA-CAD pretrained comparison artifacts

Exact existing Windows artifacts for the frozen jepa_joint comparison arm. No preprocessing, retraining, or new result generation was performed for this upload.

Artifact	Bytes
histcad_large_joint_jepa_v8/data/processed/full_paired_graphs_v7.pt	8,075,724,068
histcad_large_joint_jepa_v8/outputs/full_dataset_4096/best.pt	1,938,955,953

The cache contains 162,131 prepared HistCAD graph pairs with the original splits (145,915 training / 8,130 validation / 8,086 test). The pretrained checkpoint was selected at epoch 20 and produces a 4,096-dimensional joint representation.

Code and results: https://github.com/OliverFanHL/JEPA-CAD

Original HistCAD source dataset: https://huggingface.co/datasets/DongXintong/HistCAD The graph cache is a processed derivative; original STEP files, parametric JSON source files, and source dataset archives are not included.

Download on Linux

From the JEPA-CAD code checkout:

python -m pip install --upgrade huggingface_hub
hf download IELTS8/JEPA-CAD histcad_large_joint_jepa_v8/data/processed/full_paired_graphs_v7.pt histcad_large_joint_jepa_v8/outputs/full_dataset_4096/best.pt --local-dir .
python use_pretrained.py

ARTIFACTS.json records SHA-256 checksums. The checkpoint and graph cache are PyTorch serialized artifacts for use with the matching code. No optimizer step or preprocessing is needed to use this frozen comparison arm. The code repository also provides a checksum-verifying downloader with a pinned revision.